Analyze Data to Answer Questions

• Comprises 4 modules, typically completed in 3 weeks at ~10 hours per week (approx. 30 hours).
• Other sources estimate 26–32 hours, depending on depth and pace.
• Fully self-paced, allowing flexibility to speed up or slow down.

• This is a beginner-level course—no prior experience with spreadsheets, SQL, or analytics is required.
• Ideal for newcomers; the only requirement is basic high school–level math and curiosity.

• Module 1: Organizing data using spreadsheets and SQL—sorting, filtering, and structure.
• Module 2: Formatting data—converting, validating, and merging data across sources.
• Module 3: Aggregating data—using functions like VLOOKUP, JOINs, COUNT, and subqueries.
• Module 4: Calculations—applying formulas, pivot tables, conditional functions, and SQL operations.
• Skills Gained: Data aggregation, manipulation, spreadsheet usage, SQL queries, and calculations.

Strengths:

• Trusted by learners with a 4.6/5 rating and over 10,000 positive reviews.
• Part of Google’s Professional Certificate—provides real-world, practical insight from industry experts.

Limitations:

• May occasionally present outdated tools or function issues, depending on software updates.
• Some learners find content superficial or “fluffy,” especially if familiar with the tools.

Ideal For:

• Aspiring data analysts or beginners entering data-centric roles, within or outside the Google Data Analytics Certificate path.
• Provides key data organizational and calculation competencies essential for entry-level analyst roles.

Career Benefits:

• Earn a shareable Google-backed certificate, valuable for resumes and LinkedIn.
• Helps build confidence for technical interviews and core analytics job responsibilities.